DEEP DIVE INTO MODEL-FREE REINFORCEMENT LEARNING FOR UNDERWATER LOCOMOTION: THEORY AND PRACTICE
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Aquatic animals and underwater robots operate in a complex physical world and must coordinate their bodies to
achieve behavioral objectives such as navigation and predation. With recent developments in deep reinforcement learning (RL),
it is now possib... ...
